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Department of Pure Mathematics and Mathematical Statistics

Professor of Statistics and Director of Statistical Laboratory

Research Interests: Nonparametric and high-dimensional statistics

Publications

Minimax rates in sparse, high-dimensional changepoint detection
H Liu, C Gao, RJ Samworth
– Annals of Statistics
(2021)
49,
1081
Adaptation in multivariate log-concave density estimation
OY Feng, A Guntuboyina, AKH Kim, RJ Samworth
– The Annals of Statistics
(2021)
49,
129
Robust inference with knockoffs
RF Barber, E Candes, R Samworth
– The Annals of Statistics
(2020)
48,
1409
Classification with imperfect training labels
T Cannings, Y Fan, R Samworth
– Biometrika
(2020)
107,
311
Local nearest neighbour classification with applications to semi-supervised learning
TI Cannings, TB Berrett, RJ Samworth
– The Annals of Statistics
(2020)
48,
1789
Goodness-of-fit testing in high dimensional generalized linear models
J Janková, RD Shah, P Bühlmann, RJ Samworth
– Journal of the Royal Statistical Society Series B (Statistical Methodology)
(2020)
82,
773
Screening of healthcare workers for SARS-CoV-2 highlights the role of asymptomatic carriage in COVID-19 transmission
L Rivett, S Sridhar, D Sparkes, M Routledge, NK Jones, S Forrest, J Young, J Pereira-Dias, WL Hamilton, M Ferris, ME Torok, L Meredith, CITIID-NIHR COVID-19 BioResource Collaboration, MD Curran, S Fuller, A Chaudhry, A Shaw, RJ Samworth, JR Bradley, G Dougan, KG Smith, PJ Lehner, NJ Matheson, G Wright, IG Goodfellow, S Baker, MP Weekes
– Elife
(2020)
9,
e58728
Sparse principal component analysis via axis-aligned random projections
M Gataric, T Wang, RJ Samworth
– Journal of the Royal Statistical Society Series B: Statistical Methodology
(2020)
82,
329
The Conditional Permutation Test for Independence While Controlling for Confounders
TB Berrett, Y Wang, RF Barber, RJ Samworth
– Journal of the Royal Statistical Society Series B (Statistical Methodology)
(2019)
82,
175
Isotonic regression in general dimensions
Q Han, T Wang, S Chatterjee, RJ Samworth
– Annals of Statistics
(2019)
47,
2440
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Room

D1.18

Telephone

01223 337950